diff --git a/Project.toml b/Project.toml
index 803538c05..b218f4908 100644
--- a/Project.toml
+++ b/Project.toml
@@ -122,8 +122,8 @@ RecursiveFactorization = "0.2.23"
 Reexport = "1.2.2"
 SafeTestsets = "0.1"
 SciMLBase = "2.70"
-SciMLOperators = "1"
 SciMLLogging = "1"
+SciMLOperators = "1"
 Setfield = "1.1.1"
 SparseArrays = "1.10"
 Sparspak = "0.3.9"
diff --git a/ext/LinearSolveCUDAExt.jl b/ext/LinearSolveCUDAExt.jl
index 5bae5040d..eab6ee401 100644
--- a/ext/LinearSolveCUDAExt.jl
+++ b/ext/LinearSolveCUDAExt.jl
@@ -1,13 +1,16 @@
 module LinearSolveCUDAExt
 
 using CUDA
+using CUDA: CuVector, CuMatrix
 using LinearSolve: LinearSolve, is_cusparse, defaultalg, cudss_loaded, DefaultLinearSolver,
                    DefaultAlgorithmChoice, ALREADY_WARNED_CUDSS, LinearCache,
                    needs_concrete_A,
                    error_no_cudss_lu, init_cacheval, OperatorAssumptions,
                    CudaOffloadFactorization, CudaOffloadLUFactorization, CudaOffloadQRFactorization,
-                   SparspakFactorization, KLUFactorization, UMFPACKFactorization
+                   SparspakFactorization, KLUFactorization, UMFPACKFactorization,
+                   LinearVerbosity
 using LinearSolve.LinearAlgebra, LinearSolve.SciMLBase, LinearSolve.ArrayInterface
+using LinearAlgebra: LU
 using SciMLBase: AbstractSciMLOperator
 
 function LinearSolve.is_cusparse(A::Union{
diff --git a/lib/LinearSolveAutotune/Project.toml b/lib/LinearSolveAutotune/Project.toml
index 1b0e60bcf..df593f72a 100644
--- a/lib/LinearSolveAutotune/Project.toml
+++ b/lib/LinearSolveAutotune/Project.toml
@@ -3,6 +3,9 @@ uuid = "67398393-80e8-4254-b7e4-1b9a36a3c5b6"
 authors = ["SciML"]
 version = "1.8.0"
 
+[sources]
+LinearSolve = {path = "../.."}
+
 [deps]
 Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"